Radar Signal Analysis With Oscilloscope Demodulation
Learn how oscilloscope demodulation and FFTs reveal radar pulse envelopes, Barker-coded phase modulation, chirp behavior, and frequency content.
Transmission line loss directly affects eye diagram quality, with around −12 dB at Nyquist marking the limit before signal integrity rapidly degrades without equalization.
Understanding the internal design of a 10x passive probe reveals the trade-offs that affect signal accuracy, bandwidth, and noise performance.
Automatic FFT tools turn oscilloscopes into intuitive spectrum analyzers, simplifying setup while revealing key frequency components in real time.
A hands-on approach to FFTs reveals how manual oscilloscope settings expose hidden frequency-domain details in seemingly simple signals.
A practical FFT workflow reveals hidden frequency-domain insights in power supply noise that time-domain analysis alone cannot show.
Virtual probing techniques can eliminate reflections in mid-bus DDR measurements, delivering cleaner signals and more accurate analysis.
Mixed-mode S-parameters are derived from single-ended measurements through matrix transformations that reveal differential and common-mode signal behavior.
Mixed-mode S-parameters provide a powerful framework for analyzing how differential and common signals interact in complex transmission systems.
Mode conversion in differential signaling is driven by asymmetry between signal paths, revealing itself through mixed-mode S-parameters.
This introduction explores how to debug complex embedded systems by time-correlating diverse signals across power, digital, and analog domains.
This guide explains how to measure and validate power rail sequencing in embedded systems to ensure proper startup timing and long-term reliability.
This guide explains how to capture and correlate low- and high-speed events in embedded systems by balancing sample rate, memory depth, and measurement techniques.